Title :
An agricultural resources optimization model
Author :
Varma, Ambrish ; Nath, Ajith S. ; Regikumar, V.
Author_Institution :
Dept. of Mech. Eng., Coll. of Eng., Trivandrum, India
Abstract :
This paper aims to help farmers in selecting the right crop at the right time and the optimum allocation of land and water to each of these crops to maximize the profit by taking into consideration, the market prices, climate and irrigation facilities. It considers the case of optimization of agricultural resources in various districts of Kerala, India. The selection is based on a meta-heuristic method called Multi-objective Genetic algorithm (MOGA). To prevent premature convergence to local minima, Infeasible Solution Archiving and Replacement Mechanism (ISARM) and niche-based fitness sharing of Pareto dominant set is done. Besides, dynamic parameterization of cross-over and mutation operators are carried out to obtain the best proportion in which the operators are selected.
Keywords :
Pareto optimisation; convergence; crops; genetic algorithms; irrigation; land use planning; marketing; mathematical operators; pricing; profitability; ISARM; India; Kerala; MOGA; Pareto dominant set; agricultural resource optimization model; climate facilities; crop; crossover operators; dynamic parameterization; infeasible solution archiving and replacement mechanism; irrigation facilities; local minima; market prices; meta heuristic method; multiobjective genetic algorithm; mutation operators; niche-based fitness sharing; optimum land allocation; optimum water allocation; premature convergence; profit maximization; Agriculture; Equations; Linear programming; Mathematical model; Optimization; Sociology; Statistics; Agriculture; Heuristics; ISARM; Multi-objective Genetic algorithm (MOGA); Niche-based fitness sharing; Operator parameterization; Pareto dominant set;
Conference_Titel :
India Conference (INDICON), 2012 Annual IEEE
Conference_Location :
Kochi
Print_ISBN :
978-1-4673-2270-6
DOI :
10.1109/INDCON.2012.6420815
